F0-Consistent Many-To-Many Non-Parallel Voice Conversion Via Conditional Autoencoder

Non-parallel many-to-many voice conversion remains an interesting but challenging speech processing task. Many style-transfer-inspired methods such as generative adversarial networks (GANs) and variational autoencoders (VAEs) have been proposed. Recently, AU-TOVC, a conditional autoencoders (CAEs) b...

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Vydané v:	Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) s. 6284 - 6288
Hlavní autori:	Qian, Kaizhi, Jin, Zeyu, Hasegawa-Johnson, Mark, Mysore, Gautham J.
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.05.2020
Predmet:	Acoustics autoencoder Conferences F0-conversion Generative adversarial networks Signal processing Speech processing Task analysis Tuning voice-conversion WaveNet-vocoder
ISSN:	2379-190X
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